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» Using Statistical Translation Models for Bilingual IR
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LREC
2008
155views Education» more  LREC 2008»
13 years 9 months ago
Using Reordering in Statistical Machine Translation based on Alignment Block Classification
Statistical Machine Translation (SMT) is based on alignment models which learn from bilingual corpora the word correspondences between source and target language. These models are...
Marta R. Costa-Jussà, José A. R. Fon...
NLE
2007
180views more  NLE 2007»
13 years 7 months ago
Segmentation and alignment of parallel text for statistical machine translation
We address the problem of extracting bilingual chunk pairs from parallel text to create training sets for statistical machine translation. We formulate the problem in terms of a s...
Yonggang Deng, Shankar Kumar, William Byrne
COLING
2002
13 years 7 months ago
A Robust Cross-Style Bilingual Sentences Alignment Model
Most current sentence alignment approaches adopt sentence length and cognate as the alignment features; and they are mostly trained and tested in the documents with the same style...
Tz-Liang Kueng, Keh-Yih Su
COLING
2000
13 years 8 months ago
Improving SMT quality with morpho-syntactic analysis
In the framework of statistical machine translation (SMT), correspondences between the words in the source and the target language are learned from bilingual corpora on the basis ...
Sonja Nießen, Hermann Ney
TREC
2000
13 years 8 months ago
TREC-9 CLIR Experiments at MSRCN
In TREC-9, we participated in the English-Chinese Cross-Language Information Retrieval (CLIR) track. Our work involved two aspects: finding good methods for Chinese IR, and findin...
Jianfeng Gao, Jian-Yun Nie, Jian Zhang, Endong Xun...